{
 "cells": [
  {
   "attachments": {},
   "cell_type": "markdown",
   "id": "87255948",
   "metadata": {},
   "source": [
    "# 高效碳基测试运算模块\n",
    "欢迎使用高效碳基运算模块gtdev  \n",
    "你可以阅读[模块完整文档](README.ipynb)，来查阅gtdev的完整功能"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "dce93c0b",
   "metadata": {},
   "source": [
    "# 使用流程示例\n",
    "请安顺序执行下面的单元格\n",
    "## 导入模块"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "55daacab",
   "metadata": {},
   "outputs": [],
   "source": [
    "import gtdev as gTdev#导入gTdev模块"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "7c8de139",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "'D:/Workspace/240109-ChipHolders'"
      ]
     },
     "execution_count": 9,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#from gTixi import waFile\n",
    "\n",
    "sDataFolder='./data' #使用示例数据文件夹\n",
    "\n",
    "#sDataFolder=waFile.uigetfulldir()\n",
    "#也可使用上述语句指定分析文件夹"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "bd641b2d",
   "metadata": {},
   "source": [
    "## 读取文件\n",
    "- location为数据文件的目录\n",
    "- key为文件过滤器，只会分析包含key的文件，在此样例中，会解析[inverter_20241031_143223.xlsx](./data/inverter_20241031_143223.xlsx)等5个文件。\n",
    "- X_Axis和Y_Axis为提取数据的列名，会将excel表中列名包含X_Axis的提取为x轴数据，y轴同理。两组数据会被存储到curve.x,curve.y中\n",
    "- SheetNames为将要提取的excel工作表的名称（注意excel文件名、单个文件里不同工作表的名称的不同）。文件名和工作表名称为被存储在curve.name中。"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "9fb684d4",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "['Sheet1@inverter_20241031_103405.xlsx', 'Sheet1@inverter_20241031_143223.xlsx', 'Sheet1@inverter_20241031_142847.xlsx', 'Sheet1@inverter_20241022_113414.xlsx']\n"
     ]
    }
   ],
   "source": [
    "#读取文件，测试文件已经放到同文件夹的data目录下，支持同时放入多个文件批量处理\n",
    "testFiles = gTdev.gtfile(location=sDataFolder,\n",
    "                         key=\"inverter\",\n",
    "                         X_Axis='Vin',\n",
    "                         Y_Axis='Vout',\n",
    "                         sheetNames=['Sheet'])\n",
    "#gtfile的返回值为list，list里的元素为gTdev.gtfile.curve\n",
    "#输出提取到的数据表名称\n",
    "print([curve.name for curve in testFiles.curves])"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "5e10bd46",
   "metadata": {},
   "source": [
    "## 绘制图像\n",
    "图像由matplotlib生成，更详细用法参考[菜鸟教程](https://www.runoob.com/matplotlib/matplotlib-tutorial.html)或[官方文档](https://matplotlib.org/stable/users/index.html)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "id": "8f316016",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 600x600 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "from matplotlib import pyplot as plt\n",
    "# 绘制图像\n",
    "plt.style.use('default')\n",
    "plt.figure(figsize=(6,6))\n",
    "# 设置xy轴标签与图像标题\n",
    "plt.title(\"Inverter\")\n",
    "plt.xlabel(\"Vin (V)\")\n",
    "plt.ylabel(\"Vout (V)\")\n",
    "# 插入曲线\n",
    "for curve in testFiles.curves:\n",
    "    plt.plot(curve.x,curve.y,label=curve.name.split('@')[1])\n",
    "plt.legend()\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "804be280",
   "metadata": {},
   "source": [
    "## 提取参数\n",
    "- 根据curve.x和curve.y的内容，提取对应的参数。\n",
    "- inv = gTdev.inverter(curve.x,curve.y)实例化反相器\n",
    "- 可以直接使用inv.Vm的方式读取对应的参数，该类型为物理量包含num和unit，如果需要参与计算，需要使用inv.Vm.num。\n",
    "- 这里推荐使用pandas格式化提取的结果，方便保存到excel工作表中。点击查看[pandas基础教程](https://www.runoob.com/pandas/pandas-tutorial.html)\n",
    "- 提取参数的结果会被放在result文件夹中，这里也可以自行设置。"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "id": "490e2797",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>name</th>\n",
       "      <th>Vm</th>\n",
       "      <th>gain</th>\n",
       "      <th>hys</th>\n",
       "      <th>NMH</th>\n",
       "      <th>NML</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>Sheet1@inverter_20241031_103405.xlsx</td>\n",
       "      <td>0.7157V</td>\n",
       "      <td>53.71</td>\n",
       "      <td>0V</td>\n",
       "      <td>0.6195V</td>\n",
       "      <td>1.212V</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>Sheet1@inverter_20241031_143223.xlsx</td>\n",
       "      <td>0.7213V</td>\n",
       "      <td>65.43</td>\n",
       "      <td>0V</td>\n",
       "      <td>0.6302V</td>\n",
       "      <td>1.199V</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>Sheet1@inverter_20241031_142847.xlsx</td>\n",
       "      <td>0.7212V</td>\n",
       "      <td>65.67</td>\n",
       "      <td>0V</td>\n",
       "      <td>0.6301V</td>\n",
       "      <td>1.199V</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>Sheet1@inverter_20241022_113414.xlsx</td>\n",
       "      <td>0.7152V</td>\n",
       "      <td>51.78</td>\n",
       "      <td>0V</td>\n",
       "      <td>0.6204V</td>\n",
       "      <td>1.211V</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                                   name       Vm   gain hys      NMH     NML\n",
       "0  Sheet1@inverter_20241031_103405.xlsx  0.7157V  53.71  0V  0.6195V  1.212V\n",
       "1  Sheet1@inverter_20241031_143223.xlsx  0.7213V  65.43  0V  0.6302V  1.199V\n",
       "2  Sheet1@inverter_20241031_142847.xlsx  0.7212V  65.67  0V  0.6301V  1.199V\n",
       "3  Sheet1@inverter_20241022_113414.xlsx  0.7152V  51.78  0V  0.6204V  1.211V"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "#提取参数\n",
    "result = []#用于存储提取到的参数\n",
    "for curve in testFiles.curves:#对每个提取到的曲线分别处理\n",
    "    #根据curve的x,y实例化反相器\n",
    "    inv = gTdev.inverter(curve.x,curve.y)\n",
    "    #提取反相器的转换阈值电压，增益，回滞，噪声容限-高，噪声容限-低，并放入result中\n",
    "    result.append([curve.name, inv.Vm, inv.gain, inv.hys, inv.NMH, inv.NML])\n",
    "#添加表头，转化为pandas的DataFrame格式化输出\n",
    "import pandas as pd\n",
    "result = pd.DataFrame(result,columns=['name',\"Vm\",\"gain\",\"hys\",\"NMH\",\"NML\"])\n",
    "\n",
    "from IPython.display import display\n",
    "#输出表格\n",
    "display(result)\n",
    "#保存文件\n",
    "result.to_excel(\"result/sampleInv.xlsx\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "id": "f79af515",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([1.9981285e+00, 1.9982060e+00, 1.9984980e+00, 1.9985990e+00,\n",
       "       1.9989270e+00, 1.9985035e+00, 1.9986885e+00, 1.9984915e+00,\n",
       "       1.9986825e+00, 1.9987960e+00, 1.9988730e+00, 1.9983070e+00,\n",
       "       1.9987720e+00, 1.9988730e+00, 1.9987900e+00, 1.9986525e+00,\n",
       "       1.9987655e+00, 1.9988435e+00, 1.9987060e+00, 1.9988730e+00,\n",
       "       1.9981995e+00, 1.9987895e+00, 1.9983070e+00, 1.9983605e+00,\n",
       "       1.9980570e+00, 1.9977650e+00, 1.9976395e+00, 1.9969245e+00,\n",
       "       1.9964360e+00, 1.9952020e+00, 1.9931755e+00, 1.9902500e+00,\n",
       "       1.9846180e+00, 1.9718470e+00, 1.9136825e+00, 1.0976935e+00,\n",
       "       6.2115500e-02, 1.9695500e-02, 9.1175000e-03, 4.4990000e-03,\n",
       "       2.5680000e-03, 1.2810000e-03, 9.6500000e-04, 4.5850000e-04,\n",
       "       4.2850000e-04, 4.0450000e-04, 3.6900000e-04, 8.9000000e-05,\n",
       "       2.7350000e-04, 1.1250000e-04, 3.5500000e-05, 1.6650000e-04,\n",
       "       6.5500000e-05, 8.3000000e-05, 3.2750000e-04, 1.5400000e-04,\n",
       "       1.1850000e-04, 4.4650000e-04, 3.0000000e-05, 2.9000000e-05,\n",
       "       3.0950000e-04, 2.4950000e-04, 1.6050000e-04, 4.2000000e-05,\n",
       "       1.4900000e-04, 3.0000000e-05, 1.3650000e-04, 1.3050000e-04,\n",
       "       2.2000000e-04, 5.9000000e-05, 7.7500000e-05, 2.7350000e-04,\n",
       "       7.7000000e-05, 4.8000000e-05, 2.3800000e-04, 2.2600000e-04,\n",
       "       1.4850000e-04, 6.5500000e-05, 1.7300000e-04, 1.1900000e-04,\n",
       "       1.1900000e-04, 8.3000000e-05, 5.3500000e-05, 7.7500000e-05,\n",
       "       1.0050000e-04, 1.1850000e-04, 9.4500000e-05, 7.7000000e-05,\n",
       "       1.0150000e-04, 6.0000000e-06, 3.2150000e-04, 8.8500000e-05,\n",
       "       6.0000000e-06, 1.6050000e-04, 6.5500000e-05, 1.7200000e-04,\n",
       "       1.9050000e-04, 4.7000000e-05, 3.0950000e-04, 7.1000000e-05,\n",
       "       6.5500000e-05])"
      ]
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "curve.y"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "3168b1d8",
   "metadata": {},
   "source": [
    "# 反相器曲线解析\n",
    "- 反相器曲线解析，将数据放入data文件夹中直接运行即可。**注意文件名要包含key的内容**。\n",
    "- 完整的反相器解析的功能请点击[反相器曲线解析](./反相器曲线解析.ipynb)，包含解析功能与解析过程。"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "dfbfebe6",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 600x600 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>name</th>\n",
       "      <th>Vm</th>\n",
       "      <th>gain</th>\n",
       "      <th>hys</th>\n",
       "      <th>NMH</th>\n",
       "      <th>NML</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>Sheet1@inverter_20241031_103405.xlsx</td>\n",
       "      <td>0.7157V</td>\n",
       "      <td>53.71</td>\n",
       "      <td>0V</td>\n",
       "      <td>0.6195V</td>\n",
       "      <td>1.212V</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>Sheet1@inverter_20241031_142847.xlsx</td>\n",
       "      <td>0.7212V</td>\n",
       "      <td>65.67</td>\n",
       "      <td>0V</td>\n",
       "      <td>0.6301V</td>\n",
       "      <td>1.199V</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>Sheet1@inverter_20241031_143223.xlsx</td>\n",
       "      <td>0.7213V</td>\n",
       "      <td>65.43</td>\n",
       "      <td>0V</td>\n",
       "      <td>0.6302V</td>\n",
       "      <td>1.199V</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>Sheet1@inverter_20241022_113414.xlsx</td>\n",
       "      <td>0.7152V</td>\n",
       "      <td>51.78</td>\n",
       "      <td>0V</td>\n",
       "      <td>0.6204V</td>\n",
       "      <td>1.211V</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                                   name       Vm   gain hys      NMH     NML\n",
       "0  Sheet1@inverter_20241031_103405.xlsx  0.7157V  53.71  0V  0.6195V  1.212V\n",
       "1  Sheet1@inverter_20241031_142847.xlsx  0.7212V  65.67  0V  0.6301V  1.199V\n",
       "2  Sheet1@inverter_20241031_143223.xlsx  0.7213V  65.43  0V  0.6302V  1.199V\n",
       "3  Sheet1@inverter_20241022_113414.xlsx  0.7152V  51.78  0V  0.6204V  1.211V"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "\n",
    "import gtdev as gTdev#导入gTdev模块\n",
    "\n",
    "#读取文件，测试文件已经放到同文件夹的data目录下，支持同时放入多个文件批量处理\n",
    "testFiles = gTdev.gtfile(location='./data',key=\"inverter\",X_Axis='Vin',Y_Axis='Vout')\n",
    "#gtfile的返回值为list，list里的元素为gTdev.gtfile.curve\n",
    "\n",
    "from matplotlib import pyplot as plt\n",
    "# 绘制图像\n",
    "plt.style.use('default')\n",
    "plt.figure(figsize=(6,6))\n",
    "# 设置xy轴标签与图像标题\n",
    "plt.title(\"Inverter\")\n",
    "plt.xlabel(\"Vin (V)\")\n",
    "plt.ylabel(\"Vout (V)\")\n",
    "# 插入曲线\n",
    "for curve in testFiles.curves:\n",
    "    plt.plot(curve.x,curve.y,label=curve.name.split('@')[1])\n",
    "plt.legend()\n",
    "plt.show()\n",
    "\n",
    "#提取参数\n",
    "result = []#用于存储提取到的参数\n",
    "for curve in testFiles.curves:#对每个提取到的曲线分别处理\n",
    "    #根据curve的x,y实例化反相器\n",
    "    inv = gTdev.inverter(curve.x,curve.y)\n",
    "    #提取反相器的转换阈值电压，增益，回滞，噪声容限-高，噪声容限-低，并放入result中\n",
    "    result.append([curve.name, inv.Vm, inv.gain, inv.hys, inv.NMH, inv.NML])\n",
    "#添加表头，转化为pandas的DataFrame格式化输出\n",
    "import pandas as pd\n",
    "result = pd.DataFrame(result,columns=['name',\"Vm\",\"gain\",\"hys\",\"NMH\",\"NML\"])\n",
    "from IPython.display import display\n",
    "#输出表格\n",
    "display(result)\n",
    "#保存文件\n",
    "result.to_excel(\"result/sampleInv.xlsx\")"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "96d12e3c",
   "metadata": {},
   "source": [
    "# 转移曲线解析\n",
    "- 完整的反相器曲线解析，将数据放入data文件夹中直接运行即可。**注意文件名要包含key，X_Axis和Y_Axis为excel中栅压和源漏电流对应的列名**。\n",
    "- 完整的反相器解析的功能请点击[转移曲线批量解析](./转移曲线-批量解析.ipynb)，包含解析功能、回滞分析与解析过程。\n",
    "- 噪声分析请点击[噪声分析](./转移曲线-噪声分析.ipynb)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "1e7b1a76",
   "metadata": {},
   "outputs": [],
   "source": [
    "#读取所有曲线的电学参数\n",
    "import numpy as np\n",
    "import pandas\n",
    "import gtdev as gTdev\n",
    "from matplotlib import pyplot as plt\n",
    "\n",
    "currentType = ['DrainI',\"SourceI\"][0]\n",
    "\n",
    "plt.style.use('default')\n",
    "######绘制图像#####\n",
    "plt.title(\"Transfer Curve Analysis\")\n",
    "plt.xlabel(\"GateV(V)\")\n",
    "plt.ylabel(currentType+\"(A)\")\n",
    "plt.yscale(\"log\")#对数坐标，如果需要线性坐标可以注释掉这一行\n",
    "\n",
    "######读取文件并提取曲线#####\n",
    "# 文件名要包含key，X_Axis和Y_Axis为excel中栅压和元漏电流对应的列名\n",
    "testFiles = gTdev.gtfile(location='./data',key=\"MOS-DIE\",X_Axis='GateV',Y_Axis=currentType,absY=True)\n",
    "for curve in testFiles.curves:\n",
    "    plt.plot(curve.x,curve.y)\n",
    "plt.legend()\n",
    "plt.show()\n",
    "\n",
    "result = []\n",
    "for curve in testFiles.curves:\n",
    "    row = []\n",
    "    row.append(curve.name)\n",
    "    a = gTdev.transcurve(Id=curve.y,Vgs=curve.x)\n",
    "    row= row + [\"{:.3f}\".format(np.abs(a.Ion.num*1e6)), \"{:.3f}\".format(np.abs(a.Ioff.num*1e9)), a.OOR.num]   \n",
    "    row.append(\"{:.3f}\".format(a.getVth(0).num))\n",
    "    row.append(\"{:.3f}\".format(a.getVth(1).num * 1000))\n",
    "    row.append(\"{:.3e}\".format(a.Gm.num * 1000000))\n",
    "    row.append(\"{:.3e}\".format(a.SS.num * 1000))\n",
    "    result.append(row)\n",
    "result = pandas.DataFrame(result, columns=['name','Ion','Ioff','OOR','Vth(.5)','Vth(lin)','Gm','SS'])\n",
    "\n",
    "display(result)\n",
    "import time\n",
    "timetag = time.time()\n",
    "result.to_excel(f\"./result/{timetag}.xlsx\")\n",
    "print(f\"./result/{timetag}.xlsx已经保存\")\n"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "aa282803",
   "metadata": {},
   "source": [
    "## 工艺角\n",
    "- 工艺角可以对比不同条件的整体数据趋势，有利于把握工艺的整体走向。\n",
    "- 该单元格仅显示'Ion'的工艺角，完整功能请点击[工艺角分析](./转移曲线-工艺角.ipynb)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "34eceed5",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "['(A)', 1e-06, 0.001, True]\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 600x600 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# 先运行这个提取数据\n",
    "\n",
    "def extractData(filter=True):\n",
    "    import os \n",
    "    import numpy as np\n",
    "    import gtdev as gTdev\n",
    "\n",
    "    currentType = ['DrainI','SourceI'][1]\n",
    "    testArrays = []\n",
    "    for art in os.listdir('artCorner'):\n",
    "        testItem = {\"name\":art}\n",
    "        for para in ['Ion']:\n",
    "            dataDir = os.path.join('artCorner',art)\n",
    "            data = {'P':[],'N':[]}\n",
    "            for devType in data:\n",
    "                for curve in gTdev.gtfile(\n",
    "                    location =dataDir,key=devType,Y_Axis=currentType,\n",
    "                    Z_Axis=\"GateI\",absY=True).curves:\n",
    "                    a = gTdev.transcurve(Id=curve.y,Vgs=curve.x,Ig=curve.info['Z'])\n",
    "                    if filter:\n",
    "                        if a.isFailure():\n",
    "                            continue        \n",
    "                    if para == 'Ion':\n",
    "                        data[devType].append(a.Ion.num)\n",
    "            testItem[para]={\"data\":data,\"mean\":{\"P\":np.mean(data['P']),\"N\":np.mean(data['N'])}}\n",
    "        testArrays.append(testItem)\n",
    "    return testArrays\n",
    "\n",
    "import warnings\n",
    "warnings.filterwarnings('ignore')\n",
    "testArrays = extractData()\n",
    "\n",
    "# 再运行这个生成图像\n",
    "\n",
    "def artCorner(testArrays,para='Ion',figType=0):\n",
    "    UnitMap = {\n",
    "        \"Ion\":[\"(A)\",1e-6,1e-3,True],\n",
    "        }\n",
    "\n",
    "    \n",
    "    import numpy as np\n",
    "    from matplotlib import pyplot as plt\n",
    "    plt.figure(figsize=(6,6))\n",
    "    plt.style.use('default')\n",
    "    plt.rcParams['xtick.direction'] = 'in'#将x周的刻度线方向设置向内\n",
    "    plt.rcParams['ytick.direction'] = 'in'#将y轴的刻度方向设置向内\n",
    "\n",
    "    plt.grid(axis='both')\n",
    "    print(UnitMap[para])\n",
    "    plt.ylabel(\"NMOS-\"+para+' '+UnitMap[para][0])\n",
    "    plt.xlabel(\"PMOS-\"+para+' '+UnitMap[para][0])\n",
    "    if UnitMap[para][3]:\n",
    "        plt.xscale('log')\n",
    "        plt.yscale('log')\n",
    "    else:\n",
    "        plt.xscale('linear')\n",
    "        plt.yscale('linear')\n",
    "    plt.xlim(UnitMap[para][1],UnitMap[para][2])\n",
    "    plt.ylim(UnitMap[para][1],UnitMap[para][2])\n",
    "\n",
    "    plt.title('ProgressCorner_'+para)\n",
    "    \n",
    "    dataMeans={'pMean':[],'nMean':[]}\n",
    "    for arr in testArrays:\n",
    "        art = arr['name']\n",
    "        data = arr[para]['data']\n",
    "        \n",
    "        pData,nData = data['P'],data['N']\n",
    "        if figType == 0:\n",
    "            plt.scatter(\n",
    "                [np.average(pData)]*len(nData)+list(pData),\n",
    "                list(nData) + [np.average(nData)]*len(pData),label=art)\n",
    "            plt.text(np.average(pData),np.average(nData),art)\n",
    "        if figType == 1:\n",
    "            dots = min(len(pData),len(nData))\n",
    "            pData=pData[0:dots]\n",
    "            nData=nData[0:dots]\n",
    "            plt.scatter(pData,nData,label=art)\n",
    "            plt.text(np.average(pData),np.average(nData),art)\n",
    "        dataMeans['pMean'].append(np.mean(pData))\n",
    "        dataMeans['nMean'].append(np.mean(nData))\n",
    "    plt.plot(dataMeans['pMean'],dataMeans['nMean'],'r*-',markersize=15)\n",
    "    plt.legend()\n",
    "    plt.show()\n",
    "# ['Ion','Ioff','OOR','Vth','Gm','SS']        \n",
    "# 0为散点，1为十字\n",
    "for para in ['Ion']:\n",
    "    artCorner(testArrays,para,1)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "15791982",
   "metadata": {},
   "source": [
    "# IV曲线分析\n",
    "完整功能请点击[IV曲线](./IVCurve数据分析.ipynb)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "abeb664e",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "          name Resistance\n",
      "0    IV1-2T1-2       2961\n",
      "1    IV1-2T5-6       2962\n",
      "2    IV1-2T3-4       2961\n",
      "3   IV1-2T9-10       2961\n",
      "4    IV1-2T7-8       2961\n",
      "5  IV1-2T11-12       2961\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "#读取所有曲线的电学参数\n",
    "import numpy as np\n",
    "import pandas as pd\n",
    "import gtdev as gTdev\n",
    "from matplotlib import pyplot as plt\n",
    "import pandas\n",
    "\n",
    "\n",
    "\n",
    "######读取文件并提取曲线#####\n",
    "testFiles = gTdev.gtfile(location='./data',key=\"IV\",X_Axis=\"Voltage\",Y_Axis=\"Current\",absY=False)\n",
    "\n",
    "######绘制图像#####\n",
    "plt.title(\"IV Curve Analysis\")\n",
    "plt.xlabel(\"Voltage(V)\")\n",
    "plt.ylabel(\"Current(A)\")\n",
    "\n",
    "#绘制图像\n",
    "plt.style.use('default')\n",
    "\n",
    "######解析数据#####\n",
    "result = []\n",
    "for curve in testFiles.curves:\n",
    "    row = []\n",
    "    cname = curve.name.split('@')[1].split('.')[0]\n",
    "    row.append(cname)\n",
    "    p,_ = np.polyfit(curve.x,curve.y,1)\n",
    "    res = \"{:.4g}\".format(1/p)\n",
    "    row.append(res)\n",
    "    result.append(row)\n",
    "    plt.plot(curve.x,curve.y,label=cname+':'+res+\"Ω\")\n",
    "result = pandas.DataFrame(result, columns=['name','Resistance'])\n",
    "print(result)\n",
    "import time\n",
    "result.to_excel(f\"./result/Parameter{time.time()}.xlsx\")\n",
    "\n",
    "plt.legend()\n",
    "plt.show()\n"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "43961867",
   "metadata": {},
   "source": [
    "# 输出特性曲线提取\n",
    "完整功能请点击[输出曲线](./输出特性曲线.ipynb)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "66f60f12",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "import gtdev as gTdev\n",
    "allcurves = gTdev.gtfile(location='./data',\n",
    "                    key=\"vds\",#文件命名过滤器\n",
    "                    X_Axis='Vds',#DrainV列名\n",
    "                    Y_Axis='Ids',#DrainI列名\n",
    "                    Z_Axis='GateV',#GateV列名\n",
    "                    absY=True).curves\n",
    "\n",
    "from matplotlib import pyplot as plt\n",
    "import math\n",
    "plt.style.use('default')\n",
    "######绘制图像#####\n",
    "plt.title(\"Output Characteristic Curve\")\n",
    "plt.xlabel(\"DrainV(V)\")\n",
    "plt.ylabel(\"SourceI(A)\")\n",
    "#### 把xlim或ylim前的井号去掉，修改对应的值即可调整坐标范围 ###\n",
    "#plt.xlim(left=-2,right=0)\n",
    "#plt.ylim(bottom=1,top=2)\n",
    "\n",
    "count = 0\n",
    "colormap = {}\n",
    "for data in allcurves:\n",
    "    if abs(data.y[0]/data.y[-1])<1.1 and abs(data.y[0]/data.y[-1])>0.9:\n",
    "        continue\n",
    "    ctag = f\"{abs(float(data.info['Z'][0])):.1f}\"\n",
    "    if ctag in colormap:\n",
    "        cindex = colormap[ctag]\n",
    "    else:\n",
    "        cindex = count\n",
    "        colormap[ctag] = count\n",
    "        count+=1\n",
    "    plt.plot(data.x,\n",
    "            data.y,\n",
    "            label=ctag+'V',\n",
    "            color=f\"C{cindex}\")\n",
    "        \n",
    "from collections import OrderedDict\n",
    "handles, labels = plt.gca().get_legend_handles_labels()\n",
    "by_label = OrderedDict(zip(labels,handles))\n",
    "plt.legend(by_label.values(),by_label.keys())\n",
    "\n",
    "plt.show()\n"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "129992e9",
   "metadata": {},
   "source": [
    "# 自动探针台热力图\n",
    "- 完整功能可查看[自动探针台热力图生成软件](./自动探针台热力图.ipynb),包含热力图分析，失效分析，晶粒一致性分析等内容。\n",
    "- 这里仅展示失效分析"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "99fc9af0",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Run0@autoPMOS2.xlsx False!\n",
      "Run6@autoPMOS2.xlsx False!\n",
      "Run31@autoPMOS2.xlsx False!\n",
      "Run44@autoPMOS2.xlsx False!\n",
      "Run49@autoPMOS2.xlsx False!\n",
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      "Run6@autoPMOS1.xlsx False!\n",
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      "Run26@autoPMOS1.xlsx False!\n",
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      "Run37@autoPMOS1.xlsx False!\n",
      "Run38@autoPMOS1.xlsx False!\n",
      "Run43@autoPMOS1.xlsx False!\n",
      "Run47@autoPMOS1.xlsx False!\n",
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      "Run24@autoNMOS2.xlsx False!\n",
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      "Run37@autoNMOS2.xlsx False!\n",
      "Run38@autoNMOS2.xlsx False!\n",
      "Run40@autoNMOS2.xlsx False!\n",
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      "Run48@autoNMOS2.xlsx False!\n",
      "Run49@autoNMOS2.xlsx False!\n",
      "Run55@autoNMOS2.xlsx False!\n",
      "Run0@autoNMOS1.xlsx False!\n",
      "Run12@autoNMOS1.xlsx False!\n",
      "Run13@autoNMOS1.xlsx False!\n",
      "Run33@autoNMOS1.xlsx False!\n",
      "Run48@autoNMOS1.xlsx False!\n",
      "Run0@autoNMOS3.xlsx False!\n",
      "Run1@autoNMOS3.xlsx False!\n",
      "Run3@autoNMOS3.xlsx False!\n",
      "Run4@autoNMOS3.xlsx False!\n",
      "Run7@autoNMOS3.xlsx False!\n",
      "Run12@autoNMOS3.xlsx False!\n",
      "Run13@autoNMOS3.xlsx False!\n",
      "Run14@autoNMOS3.xlsx False!\n",
      "Run15@autoNMOS3.xlsx False!\n",
      "Run17@autoNMOS3.xlsx False!\n",
      "Run18@autoNMOS3.xlsx False!\n",
      "Run21@autoNMOS3.xlsx False!\n",
      "Run23@autoNMOS3.xlsx False!\n",
      "Run25@autoNMOS3.xlsx False!\n",
      "Run30@autoNMOS3.xlsx False!\n",
      "Run31@autoNMOS3.xlsx False!\n",
      "Run33@autoNMOS3.xlsx False!\n",
      "Run34@autoNMOS3.xlsx False!\n",
      "Run36@autoNMOS3.xlsx False!\n",
      "Run38@autoNMOS3.xlsx False!\n",
      "Run40@autoNMOS3.xlsx False!\n",
      "Run43@autoNMOS3.xlsx False!\n",
      "Run45@autoNMOS3.xlsx False!\n",
      "Run48@autoNMOS3.xlsx False!\n",
      "Run56@autoNMOS3.xlsx False!\n",
      "but did not found mapping config for failure, using default\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 800x600 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "but did not found mapping config for failure, using default\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 800x600 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "currentType = ['DrainI',\"SourceI\"][1]\n",
    "import os\n",
    "import pandas as pd\n",
    "import gtdev as gTdev\n",
    "from matplotlib import pyplot as plt\n",
    "from IPython.display import display\n",
    "import numpy as np \n",
    "\n",
    "\n",
    "PMOS = gTdev.gtfile(location ='data',key='autoPMOS',Y_Axis=currentType,Z_Axis=\"GateI\",absY=True).curves\n",
    "NMOS = gTdev.gtfile(location ='data',key='autoNMOS',Y_Axis=currentType,Z_Axis=\"GateI\",absY=True).curves\n",
    "\n",
    "if PMOS[0].name.startswith('Run0'):\n",
    "    isATE=0\n",
    "else:\n",
    "    isATE=1\n",
    "\n",
    "def extractPara(AllCurves,dType):\n",
    "    dataOut = []\n",
    "    count = [0 for i in range(58)]\n",
    "    for curve in AllCurves:\n",
    "        \n",
    "        import numpy as np\n",
    "        curve.y = np.abs(curve.y)\n",
    "        a = gTdev.transcurve(Id=curve.y,Vgs=curve.x)\n",
    "        isFalse = a.isFailure()\n",
    "\n",
    "        if isFalse:\n",
    "            print(curve.name+\" False!\")\n",
    "        p,_ = curve.name.split('@')\n",
    "        p = int(p[3:])-isATE\n",
    "        count[p]+=1\n",
    "        c = count[p]\n",
    "        name = f\"{dType}-Vgs-4-{58}-2-initial-{p+1}-D{p+1}{'A'+str(c) if c!=1 else ''}\"\n",
    "        \n",
    "        try:\n",
    "            dataOut.append([\n",
    "                100 if isFalse else 0,\n",
    "                name\n",
    "            ])\n",
    "            \n",
    "        except:\n",
    "            pass\n",
    "    dataOut.sort(key=lambda x:int(x[1].split('-')[6]))\n",
    "    return pd.DataFrame(dataOut,columns=[\n",
    "        'failure','name'\n",
    "        ])\n",
    "\n",
    "extractPara(PMOS,'P').to_csv('./extract/autoPMOSFalse.csv')\n",
    "extractPara(NMOS,'N').to_csv('./extract/autoNMOSFalse.csv')\n",
    "from wuniform import wuniform\n",
    "plt.style.use('default')\n",
    "\n",
    "for file in ['extract/autoPMOSFalse.csv','extract/autoNMOSFalse.csv']:\n",
    "    for para in ['failure']:\n",
    "        wuniform.drawMap(\n",
    "            dataFile=file,\n",
    "            #mapConf='extract/MapForStarProbeNotch.alib.conf',\n",
    "            #mapConf='extract/MapForFz2.alib.conf',\n",
    "            mapConf='extract/MapForFz1.alib.conf',\n",
    "            #mapConf='extract/MapForGKM.alib.conf',\n",
    "            valueName=para,\n",
    "            cmap='afmhot_r')"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "b57447db",
   "metadata": {},
   "source": [
    "# 定制分析序列\n",
    "根据使用需要，可以将不同的测试放在一个文件中，作为一个定制分析序列。[一个定制分析序列的样例](./定制分析系列.ipynb)"
   ]
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3 (ipykernel)",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.9.2"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 5
}
